Large reasoning models (LRMs) generate complex reasoning traces with planning, reflection, verification, and backtracking. ReasoningFlow is a unified schema for analyzing the semantic structures of these complex traces.
ReasoningFlow parses traces into directed acyclic graphs, enabling the characterization of distinct reasoning patterns as subgraph structures.
This project page includes information about the ReasoningFlow project, including paper, code, data, and annotation guides.
Maintained by Jinu Lee
ReasoningFlow: Semantic Structure of Complex Reasoning Traces
[Preview, 08/29/25] Sample data, Annotation web interface, Visualization, Graph query tool